5 papers
From Probabilities to Decisions: Search and Multi-Teacher Distillation with Jev
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Probability-only models, which TypeSafe calls System One models, return calibrated probabilities for fixed choices in milliseconds and generate no text. We study one such model, Je…
Event Cameras for Melt-Pool Monitoring in Additive Manufacturing: A Benchmark and a Cross-Machine Transfer Analysis
Mohamad Yazan Sadoun, Sarah Sharif, Yingtao Liu +2
Melt-pool monitoring is central to qualifying metal additive manufacturing (AM), yet no public event-camera benchmark exists for this domain. Event cameras report per-pixel brightn…
Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Deploying event-camera object detectors is constrained by per-frame labeling requirements and GPU compute demands. This work introduces three local spike-timing-dependent plasticit…
Memristor Technologies for Dynamic Vision Sensors: A Critical Assessment and Research Roadmap
Mohamad Yazan Sadoun, Edris Zaman Farsa, Sarah Sharif +1
Edge-AI deployment is bottlenecked by data-movement energy; pairing event-driven vision sensors with in-memory analog compute could lift that ceiling by orders of magnitude. Both t…
SparseVoxelDet: Fully Sparse Voxel Networks for Efficient Event-Based Drone Detection
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Event cameras excel at detecting small, fast drones, but today's detectors give away their key advantage: they convert the sparse event stream into dense grids and pay dense-proces…